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March 2019 Briefing – Radiology

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Here are what the editors at HealthDay consider to be the most important developments in Radiology for March 2019. This roundup includes the latest...

February 2019 Briefing – Radiology

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Here are what the editors at HealthDay consider to be the most important developments in Radiology for February 2019. This roundup includes the latest...

January 2019 Briefing – Radiology

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Here are what the editors at HealthDay consider to be the most important developments in Radiology for January 2019. This roundup includes the latest...
An artificial intelligence system based on deep convolutional neural networks can accurately detect normal chest radiographs

Artificial Intelligence System Can Triage Chest Radiographs

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Average reporting delay reduced from 11.2 to 2.7 days for critical image findings in simulation

December 2018 Briefing – Radiology

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Here are what the editors at HealthDay consider to be the most important developments in Radiology for December 2018. This roundup includes the latest...

November 2018 Briefing – Radiology

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Here are what the editors at HealthDay consider to be the most important developments in Radiology for November 2018. This roundup includes the latest...
A deep learning algorithm

Deep Learning Algorithm Detects Thoracic Pathologies on CXRs

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CheXNeXt achieves radiologist-level performance for 11 pathologies on frontal-view chest radiographs

October 2018 Briefing – Radiology

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Here are what the editors at HealthDay consider to be the most important developments in Radiology for October 2018. This roundup includes the latest...
Despite guideline recommendations to the contrary

Nearly Half of Children Seen in ED for Bronchiolitis Get Radiography

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Radiography use similar between patients admitted versus discharged from the ED
Deep learning methods allow senior medical specialists to deliver their expertise to emergency medicine clinicians via use of a deep neural network

Deep Neural Network Improves Detection of Wrist Fractures

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For average clinician, assistance of deep neural network ups sensitivity, specificity of detection